DocumentCode :
134498
Title :
Big data application to the vegetable production and distribution system
Author :
Ahrary, Alireza ; Ludena, R. Dennis A.
Author_Institution :
Fac. of Comput. & Inf. Sci., Sojo Univ., Kumamoto, Japan
fYear :
2014
fDate :
7-9 March 2014
Firstpage :
20
Lastpage :
24
Abstract :
The new paradigm of Big Data and its multiple benefits have being used in the novel nutrition-based vegetable production and distribution system in order to generate a healthy food recommendation to the end user and to provide different analytics to improve the system efficiency. As next step in this study, the new paradigm Internet of Things (IoT) is included in the Big Data approach of the system to use its benefits, particularly automation, to add much more precise data to the system to provide to the user a much richer experience. The IoT paradigm is bridging the real world with its virtual image, where devices located in different areas could exchange information each other without any type of supervision or control. But, spite of all the benefits that IoT could bring to society, the security of the information as well as privacy must be strongly enforced and managed in this new environment with unique characteristics. In our project we make a particular approach and security assessment of the use of IoT to provide automatic data to the system.
Keywords :
Big Data; Internet of Things; agriculture; goods distribution; security of data; Big Data; Internet of Things; IoT paradigm; healthy food recommendation; nutrition-based vegetable; security assessment; vegetable distribution system; vegetable production system; virtual image; Authentication; Data handling; Data storage systems; Information management; Internet; Radiofrequency identification; Big Data; Computer Science; Data Analysis; Data systems; IoT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing & its Applications (CSPA), 2014 IEEE 10th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-3090-6
Type :
conf
DOI :
10.1109/CSPA.2014.6805713
Filename :
6805713
Link To Document :
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